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PopNx MCPMCP servers for people who use AI · explained in plain words

Google data (Trends, YouTube, Ads Transparency, Play)

by ducnhdversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.ducnhd/google-data-mcp

Install

Overview

Description from the maker (original English)

Google Trends, YouTube, Ads Transparency and Play reviews over plain HTTP. No API key.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "google-data": {
      "command": "uvx",
      "args": [
        "google-data-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add google-data -- uvx google-data-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "google-data": {
      "command": "uvx",
      "args": [
        "google-data-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "google-data": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "google-data-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ducnhd, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 2961 servers in this category
  • Published to the registry more recently than 24% of the other 2961 servers in this category
  • Basic checks equal to or better than 100% of the other 2961 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Google data (Trends, YouTube, Ads Transparency, Play) safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

An MCP server retrieving transcripts of YouTube videos

Runs on your computer★ 495MITUpdated 9 days ago
Install

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

Runs on your computer★ 244MITUpdated 9 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

google-data-mcp

An MCP server for four Google data surfaces that answer to plain HTTP — no API key, no browser, no scraping service:

ToolWhat it returns
google_trends_interestInterest over time for one keyword (0–100, weekly or hourly points)
google_trends_compareUp to 5 keywords in ONE request, so the values *are* comparable
google_trends_trendingWhat is trending right now in a country
youtube_listingA channel's Shorts, a channel's videos, or search results
google_ads_advertisersAdvertisers in the Ads Transparency Center, by name
google_ads_creativesEvery ad an advertiser runs — format, preview URL, first/last shown
google_play_reviewsApp reviews — rating, text, date, version, developer reply

Read this before you install

Everything leaves from your machine's IP, and Google's per-IP budget accumulates over hours. This is not a caveat buried at the bottom; it is the main thing that decides whether this server is right for your job.

Measured: an unpaced burst was rate-limited at request 93, and after roughly 130 *paced* requests spread over hours the same address was refused on the first request of a fresh session. While writing this server, both the author's IPs — a home connection and a datacenter VPS — ended the day refused by Google Trends.

So this server caches every result on disk (~/.cache/google-data-mcp) and paces its requests. That is enough for interactive use: asking an agent a handful of questions, exploring a topic, checking a competitor. It is not enough for bulk work, and no amount of local code can make one IP behave like many.

If you need volume, the same clients run behind rotating proxies as Apify Actors: Google Trends · YouTube · Ads Transparency.

What is deliberately missing

YouTube transcripts. They look available — the watch page still lists caption tracks — but api/timedtext returns zero bytes and /youtubei/v1/get_transcript answers Precondition check failed even when sent the page's own INNERTUBE_CONTEXT and visitorData, and the ANDROID and IOS player clients are refused the same way. A transcript tool here would be a promise this server cannot keep, so there isn't one.

Install

pipx install google-data-mcp

or: pip install google-data-mcp

or, without installing anything: uvx google-data-mcp

Then register it with your MCP client. For Claude Code:

claude mcp add google-data -- google-data-mcp

Or by hand, in an MCP client config:

{

"mcpServers": { "google-data": { "command": "google-data-mcp" } } }

Notes on the data

  • Trends values are relative within a single request. Two separate google_trends_interest calls are not comparable to each other; that is what google_trends_compare is for. Google caps a comparison at 5 terms and silently drops a 6th, so a 6th is refused rather than quietly ignored.
  • Play reviews differ per locale. Each hl/gl pair returns a *different* set of reviews — six locales gave 120 unique reviews of the same app. Vary them to widen coverage rather than paging deeper in one language.
  • Reviewer identity is omitted by default. The records carry an author name, avatar and Google account id; rating, text, date and version answer product questions without them. Set include_author if you genuinely need the name.
  • Zero ads is a real answer. Google keeps advertisers whose ads have stopped running and still reports a count for them, so an empty ads list with a non-zero declared count is information, not a failure.
  • searchVolume on trending terms is Google's own rounded bucket, not a precise count.

Legal

These are public pages, but none of them has an official public API and each platform's Terms of Service restrict automated access. You are responsible for how you use the output. No personal data is collected by default.

Development

python -m venv .venv && .venv/bin/pip install -e .

.venv/bin/python -m google_data_mcp # speaks MCP over stdio

Each client is plain standard library and can be exercised on its own, which is the fastest way to check whether Google changed something:

.venv/bin/python -c "from google_data_mcp.play import PlayClient; print(len(PlayClient().reviews('com.spotify.music', limit=40)))"
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